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Python - 100天从新手到大师
A latent text-to-image diffusion model
Examples and guides for using the OpenAI API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
The fastai book, published as Jupyter Notebooks
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
A collection of various deep learning architectures, models, and tips
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
StableLM: Stability AI Language Models
llama3 implementation one matrix multiplication at a time
This repository contains the source code for the paper First Order Motion Model for Image Animation
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
High-Resolution Image Synthesis with Latent Diffusion Models
PyTorch code and models for the DINOv2 self-supervised learning method.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬